开源链接数据可视化

发布时间：2018-04-30 00:45

本文选题：语义网 + 数据可视化　；参考：《北京交通大学》2017年硕士论文

【摘要】：在万维网的不断发展中,产生了大量结构复杂,语义丰富的数据,如何对这些数据进行处理和提取有用信息,无论对开发人员还是研究人员都是一个挑战。近年来,随着语义网技术的兴起,为解决这一问题提供了契机。通过RDF(资源描述信息,Resource Description Framework)和 OWL(网络本体语言,Web Ontology Language)等技术的应用,为网上信息定义了基本框架。通过语义描述网络资源和其之间的关系,使得这些信息可被计算机所理解,从而计算机可直接对网上信息进行查询和处理,极大的节省了人力和时间。本文在语义网的背景下,与数据可视化技术结合,从新的视角对语义网中的链接数据加以诠释。本文在研究工作中,主要围绕开源链接数据集和数据查询,实现了 3个可视化:对法律专业领域Eli法国的可视化,通过对数据进行拆解和重组,以5个不同的角度实现了动态友好可交互的可视化界面;对跨领域跨语言大型知识百科DBPedia的可视化,以2个不同的表示形式,生成一个生动的可视化语义网浏览器,通过查询某一词汇,并点击可视化界面中的图形元素,从一个资源衍生到多个不同领域的其他资源,形象的表示出了数据间的链接,体现了 DBpedia的一个大型网状结构;最后对链接数据查询语句实现了可视化,通过对各本体的基本构成及Sparql查询语句分析,抽象出了 Sparql查询语句的一个基本框架,以可视化的方式呈现出来,极大的方便了用户快速理解某一本体,并生成Sparql语句查看结果。本项目借助语义网的概念,结合对开源链接数据集的分析,应用可视化技术,对网络资源信息以动态的可交互的可视化界面呈现和描述,通过对方案设计和实现技术的分离,允许用户无需具备任何语义网基础知识,就可实现对数据的查询和分析,从而帮助用户快速的理解语义网数据模型和基本概念,并以此为基础,做出决策和判断。开源RDF数据可视化系统为KB CRAWL SAS公司与法国Eli的一期合作项目,在项目完成后于法国Eli和Openlaw的成员组织的meetup中进行了项目展示,并得到了他们的一致好评。实例证明可视化链接数据可清晰地描述语义网中的数据模式,为用户提供快捷、方便的统计链接数据可视化及分析途径。
[Abstract]:With the continuous development of the World wide Web, a large number of complex structured and semantic data are produced. How to process and extract useful information from these data is a challenge for both developers and researchers. In recent years, with the rise of semantic Web technology, it provides an opportunity to solve this problem. Through the application of RDF (Resource description Information Resource Description Framework) and owl (Network Ontology language), this paper defines the basic framework for web information. Through semantic description of the network resources and their relationship, the information can be understood by the computer, so that the computer can directly query and process the information on the network, which greatly saves manpower and time. Under the background of semantic Web and data visualization technology, this paper interprets the linked data in the semantic Web from a new perspective. In the research work, this paper mainly focuses on open source linked data set and data query, and realizes three visualizations: visualization of Eli France, disassembly and reorganization of data. A dynamic, friendly and interactive visual interface is implemented in five different angles, and a vivid visual semantic web browser is created for the visualization of cross-domain and cross-language large knowledge encyclopedia DBPedia in two different forms. By querying a certain word and clicking on the graphic elements in the visual interface, it derives from one resource to other resources in many different fields, and vividly expresses the link between the data, which embodies a large mesh structure of DBpedia; Finally, the link data query statements are visualized. By analyzing the basic components of each ontology and Sparql query statements, a basic framework of Sparql query statements is abstracted and presented in a visual way. It greatly facilitates the user to quickly understand a certain ontology and generate Sparql statements to view the results. With the help of the concept of semantic Web and the analysis of open source linked data set, this project applies visualization technology to present and describe the information of network resources in a dynamic and interactive visual interface, through the separation of project design and implementation technology. It allows users to query and analyze the data without having any basic knowledge of the semantic Web, so as to help users quickly understand the semantic Web data model and basic concepts, and make decisions and judgments on the basis of this. The open source RDF data visualization system is a first phase cooperation project between KB CRAWL SAS and French Eli. After the completion of the project, the project was displayed in the meetup of the Eli and Openlaw member organizations in France, and it was well received by them. Examples show that the visual link data can clearly describe the data pattern in the semantic web and provide a quick and convenient way for users to visualize and analyze the statistical link data.
【学位授予单位】：北京交通大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP393.4

【参考文献】